About me

I am currently serving as a researcher in NTT Human Informatics Laboratories. My current research topics lie in deep learning applications in natural language processing and vision & language, in particular, visual document understanding. Concurrently, I am also pursuing my Ph.D. at Tohoku NLP, under the supervision of Prof. Jun Suzuki. I obtained my B.Eng. and M.I. degrees from Nagoya Institute of Technology in 2018 and 2020, respectively, where I was fortunate to be advised by Prof. Akinobu Lee.

News

  • 01/2024: InstructDoc dataset is out on github. Please feel free to access!
  • 12/2023: Our InstructDoc paper was acceptted at AAAI24! The dataset and paper will be soon available!
  • 06/2023: I obtained Best Research Award (最優秀研究賞) from NTT Human Informatics Laboratory, NTT corporation
  • 03/2023: Our SlideVQA paper got Outstanding Paper Award (Top 2.2%) and Best Resource Paper Award (Top 2 out of 97 submissions) at The 29th Association of Natural Language Processing (NLP2023)
  • 01/2023: SlideVQA dataset is out on github. Please feel free to access!
  • 11/2022: Our SlideVQA paper was acceptted at AAAI23! The dataset and paper will be soon available!
  • 03/2022: Our paper got Young Reseacher Award (12 out of 280 submissions) at The 27th Association of Natural Language Processing (NLP2022)
  • 03/2022: I was invited to talk about “Recent Trends in Document Visual Question Answering” at AIO2
  • 03/2022: I obtained R&D Incentive Award (研究開発奨励賞) from NTT Service Innovation Laboratory Group, NTT corporation
  • 04/2021: I obtained Outstanding Research Activity Award (研究活動賞) from NTT Media Intelligence Laboratories, NTT corporation
  • 04/2021: Our system IG-BERT ranked 2nd out of 7 teams at InfographicVQA competition
  • 03/2021: Our VisualMRC paper got Best Paper Award (2 out of 361 submissions) at The 27th Association of Natural Language Processing (NLP2021)
  • 01/2021: VisualMRC dataset is out on github. Please feel free to access!
  • 12/2020: Our Visual Machine Reading Comprehension (VisualMRC) paper was acceptted at AAAI21! The dataset and paper will be soon available!